19 citations · 24 across the 7 of their papers we have counts for
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cs.AR2023
Ageing Analysis of Embedded SRAM on a Large-Scale Testbed Using Machine Learning
Leandro Lanzieri, Peter Kietzmann, Goerschwin Fey +2
Ageing detection and failure prediction are essential in many Internet of Things (IoT) deployments, which operate huge quantities of embedded devices unattended in the field for ye…
cs.AR2023★ 19 cited
A Review of Techniques for Ageing Detection and Monitoring on Embedded Systems
Leandro Lanzieri, Gianluca Martino, Goerschwin Fey +3
Embedded digital devices are progressively deployed in dependable or safety-critical systems. These devices undergo significant hardware ageing, particularly in harsh environments.…